Instructions to use kamizane/FineTuningJsonscheme3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamizane/FineTuningJsonscheme3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kamizane/FineTuningJsonscheme3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-430/optimizer.pt from kamizane/FineTuningJsonscheme3B: direct link, hf CLI and curl.
- Browser
- Download file 99.2 MB
-
https://huggingface.co/kamizane/FineTuningJsonscheme3B/resolve/main/checkpoint-430/optimizer.pt
- Command line
-
hf download hf://kamizane/FineTuningJsonscheme3B/checkpoint-430/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/kamizane/FineTuningJsonscheme3B/resolve/main/checkpoint-430/optimizer.pt
99.2 MB
- Xet hash:
- 13d6d9f59ce8cc557fc36d4b197c2d450f9bf8e4fdfbcd3b3c50e081e9ea5d80
- Size of remote file:
- 99.2 MB
- SHA256:
- b4cd59677f37636d1d0a718503a37b7a67e2d0cb2c00437fa1d6a9c4fe50b0c9
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